Abstract
This paper describes the University of Maryland’s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on newstest2017. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on newstest2018.- Anthology ID:
- W18-6431
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 535–540
- Language:
- URL:
- https://aclanthology.org/W18-6431
- DOI:
- 10.18653/v1/W18-6431
- Cite (ACL):
- Weijia Xu and Marine Carpuat. 2018. The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 535–540, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18 (Xu & Carpuat, WMT 2018)
- PDF:
- https://preview.aclanthology.org/author-url/W18-6431.pdf